Machine Learning
Showing 36 of 645 projects
A free, self-paced curriculum and platform for learning full-stack web development, machine learning, and computer science.
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
An end-to-end open source platform for machine learning with a comprehensive ecosystem of tools and libraries.
A platform to run, manage, and serve open-source large language models (LLMs) locally or on your own infrastructure.
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
Open Source Computer Vision Library providing real-time image processing and AI capabilities.
An open-source library with over 2500 optimized algorithms for real-time computer vision and machine learning.
A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for machine learning.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
A comprehensive open-source guide covering prompt engineering techniques, papers, notebooks, and resources for LLMs, RAG, and AI agents.
An open-source OCR engine that converts images to text, supporting over 100 languages and multiple output formats.
A collection of example code and guides for accomplishing common tasks with the OpenAI API.
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
An open-source data platform that integrates proprietary, licensed, and public financial data sources for analysts, quants, and AI agents.
A multi-backend deep learning framework that enables effortless model development across JAX, TensorFlow, PyTorch, and OpenVINO.
A simple Python library and CLI tool for facial recognition, detection, and feature manipulation using dlib's deep learning models.
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
High-performance C/C++ port of OpenAI's Whisper for efficient, cross-platform speech recognition.
A high-performance C/C++ port of OpenAI's Whisper model for efficient, cross-platform speech recognition.
A high-level, high-performance dynamic programming language for technical computing.
Transform Python scripts into interactive web apps for data dashboards, reports, and chat apps in minutes.
A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.
Build and share machine learning web apps and demos in Python with minimal code.
A library for efficient similarity search and clustering of dense vectors, scaling to billions of vectors on a single server.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A collection of research code and datasets released by Google Research under open licenses.
A collection of research code and datasets released by Google Research under open licenses.
A Python toolkit for developing and comparing reinforcement learning algorithms through a standard API and environment set.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
A Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and machine learning.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
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